@article{(Open Science Index):https://publications.waset.org/pdf/9475,
	  title     = {Mobile Robot Navigation Using Local Model Networks},
	  author    = {Hamdi. A. Awad and  Mohamed A. Al-Zorkany},
	  country	= {},
	  institution	= {},
	  abstract     = {Developing techniques for mobile robot navigation constitutes one of the major trends in the current
research on mobile robotics. This paper develops a local
model network (LMN) for mobile robot navigation. The
LMN represents the mobile robot by a set of locally valid
submodels that are Multi-Layer Perceptrons (MLPs).
Training these submodels employs Back Propagation (BP) algorithm. The paper proposes the fuzzy C-means (FCM) in this scheme to divide the input space to sub regions, and then a submodel (MLP) is identified to represent a particular
region. The submodels then are combined in a unified
structure. In run time phase, Radial Basis Functions (RBFs) are employed as windows for the activated submodels. This
proposed structure overcomes the problem of changing operating regions of mobile robots. Read data are used in all experiments. Results for mobile robot navigation using the
proposed LMN reflect the soundness of the proposed
scheme.},
	    journal   = {International Journal of Mechanical and Materials Engineering},
	  volume    = {1},
	  number    = {6},
	  year      = {2007},
	  pages     = {958 - 963},
	  ee        = {https://publications.waset.org/pdf/9475},
	  url   	= {https://publications.waset.org/vol/6},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 6, 2007},
	}